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AI/ML Engineer

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Onsite

AI/ML Engineer

AlifCloud IT Consulting Pvt. Ltd.

AI/ML Engineer

Skills

Google Cloud PlatformMongoDBDeep LearningDockerFlaskPythonPyTorchTensorFlowPostgreSQLRedisMachine LearningAIAWSKubernetesNo-code AutomationsNLP / Natural Language ProcessingFastAPIApache AirflowAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune Division, Maharashtra, India

Work mode:

Onsite

Published on:

13 August 2026

What they need


Title: Senior AI/ML Engineer Experience: 5+ Years Location: Pune, India (Work From Office) Salary: Best in Industry Employment Type: Full-Time Work Mode: Work From Office (Pune) Job Summary We are looking for a Senior AI/ML Engineer with expertise in Generative AI, LLMs, RAG systems, and production-grade machine learning. The candidate will design, develop, deploy, and optimize AI-powered applications and scalable ML solutions.

Key Responsibilities

  • Develop AI/ML and Generative AI applications.
  • Build and deploy LLM-based solutions using OpenAI, Gemini, Claude, Llama, etc.
  • Create RAG pipelines using vector databases.
  • Implement AI agents, prompt engineering, and workflow automation.
  • Design scalable ML pipelines and production AI services.
  • Deploy and monitor models using MLOps best practices.
  • Collaborate with cross-functional teams to deliver AI solutions.
  • Optimize model performance, scalability, and infrastructure costs.

Required Skills

  • Python, PyTorch, TensorFlow, Scikit-learn
  • Hugging Face, LangChain, LlamaIndex
  • OpenAI APIs and LLM frameworks
  • RAG, AI Agents, Chatbots, NLP, Deep Learning
  • Vector Databases: Pinecone, Weaviate, Chroma, FAISS, Milvus
  • Cloud Platforms: AWS, Azure, or GCP
  • Docker, Kubernetes, MLflow, Airflow, CI/CD
  • FastAPI or Flask
  • PostgreSQL, MongoDB, Redis

Preferred Qualifications

  • Bachelor's/Master's degree in CS, AI, ML, or related field
  • 5+ years in AI/ML Engineering
  • 2+ years in Generative AI/LLM development
  • Experience deploying AI systems at scale

Nice to Have

  • CrewAI, AutoGen, LangGraph, Haystack
  • Ollama, vLLM, ONNX, TensorRT
  • Experience with Voice AI, Computer Vision, or Multimodal AI

Skills: openair, Python, gen AI, MLflow, FastAPI, rag, nlp, ml

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